东北电力技术2026，Vol.47Issue(9)：28-32,5.
基于数据预测与自适应优化的继电保护算法
Relay Protection Algorithm Based on Data Prediction and Adaptive Optimization
李斌 1徐峥 1刘健 1刘诚 1陈卉雯1
作者信息
- 1. 国网辽宁省电力有限公司鞍山供电公司,辽宁 鞍山 114002
- 折叠
摘要
Abstract
To address the issues of complex wiring and low protection accuracy in conventional backup protection devices during the operation and maintenance of distribution automation terminals,it proposes a dynamic relay protection setting method based on histori-cal data prediction and adaptive optimization.This method retains the original main protection while adding a set of temporary protec-tion units,forming an optional dual configuration.The core lies in the utilization of the collected panoramic historical data of the sys-tem(voltage,current,power,etc.).The regression model of the advanced extreme gradient boosting(XGBoost)decision tree algo-rithm optimized by the adaptive moth-flame optimization(AMFO)algorithm accurately predict the future optimal protection setting val-ue and dynamically set the action threshold of the backup protection accordingly.The main and backup protections utilize a singal"or"or"and"logic,effectively preventing false activations from a single protection system,while ensuring dual protection capabili-ties in the event of a real fault.Simulation results confirm that this algorithm enhances the adaptability and reliability of the protection system,effectively reducing the risks of both false activations and missed activations.关键词
继电保护/飞蛾火焰优化算法/XGBoost回归模型Key words
relay protection/AMFO/XGBoost regression model分类
信息技术与安全科学引用本文复制引用
李斌,徐峥,刘健,刘诚,陈卉雯..基于数据预测与自适应优化的继电保护算法[J].东北电力技术,2026,47(9):28-32,5.
